CN114881483A - Weight dynamic distribution method for state evaluation indexes of distribution automation terminal - Google Patents
Weight dynamic distribution method for state evaluation indexes of distribution automation terminal Download PDFInfo
- Publication number
- CN114881483A CN114881483A CN202210513077.3A CN202210513077A CN114881483A CN 114881483 A CN114881483 A CN 114881483A CN 202210513077 A CN202210513077 A CN 202210513077A CN 114881483 A CN114881483 A CN 114881483A
- Authority
- CN
- China
- Prior art keywords
- state evaluation
- evaluation index
- automation terminal
- distribution automation
- ith
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 143
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000010606 normalization Methods 0.000 claims abstract description 21
- 206010048669 Terminal state Diseases 0.000 claims abstract description 14
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 abstract description 10
- 230000006866 deterioration Effects 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 10
- 238000007689 inspection Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 125000004432 carbon atom Chemical group C* 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000002542 deteriorative effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 230000009131 signaling function Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a dynamic weight distribution method for state evaluation indexes of a distribution automation terminal, which comprises the steps of firstly obtaining respective initial weights of all state evaluation indexes of the distribution automation terminal through distribution network operation and maintenance standards and expert experience, then independently adjusting the index weights of the state evaluation indexes with changed measurement data according to the state evaluation initial results of the distribution automation terminal, the interval of state index normalization values and the change of the state index normalization values, and finally secondarily adjusting all the state evaluation indexes to ensure the consistency of the distribution automation terminal state evaluation index weight distribution. The invention dynamically adjusts the weight of part of rapid deterioration indexes in the state evaluation of the distribution network automatic terminal, highlights the rapid deterioration condition of the indexes in the final evaluation result of the distribution network automatic terminal, and avoids the condition that the state evaluation result cannot be reflected due to the integral failure of the distribution network automatic terminal caused by the fault of a single element.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a dynamic weight distribution method for a power distribution automation terminal state evaluation index.
Background
The distribution automation terminal is mainly used for voltage and current data acquisition and monitoring, distribution switch state acquisition, opening and closing remote control and the like during normal operation of a distribution network. The distribution automation terminal is an important component of a distribution automation system, and the state evaluation of the distribution automation terminal is beneficial to realizing the state maintenance of the distribution automation terminals with wide distribution and large quantity.
The elements for determining the operation state of the distribution automation terminal are numerous, and generally include remote signaling function related elements, remote control function related elements, remote measurement function related elements, storage battery and backup power supply related elements, feeder automation related software, and the like. The state evaluation indexes of the elements can be obtained through means of on-line monitoring, daily inspection, field detection and the like. Finally, the weighted state evaluation number of the distribution automation terminal can be obtained through the respective weight of the state index of the distribution automation terminal, and then the distribution automation terminal is judged to be in any of the following four states: normal state, attentive state, abnormal state, fault state.
When the state of the distribution automation terminal is evaluated, the weight distribution of the state indexes is a serious difficulty for developing the state evaluation of the distribution automation terminal. At present, the power distribution automation terminal state evaluation index is generally subjected to weight analysis based on an analytic hierarchy process or an entropy weight method, the power distribution automation terminal state evaluation index weight distribution result based on the analytic hierarchy process excessively depends on subjective inference of an evaluation expert, and the power distribution automation terminal state evaluation index weight distribution calculation process based on the entropy weight method is complicated, long in calculation time, large in dependent data size and difficult to meet under the existing conditions.
The existing distribution automation terminal state evaluation index weight distribution methods have respective defects. Meanwhile, the weight assignment results are always kept unchanged, and the state evaluation result of the distribution automation terminal changes only depending on the score of the state evaluation index of the distribution automation terminal. The state evaluation method can obtain an effective result when the distribution automation terminal normally operates, but when one or more state evaluation indexes obviously and rapidly deteriorate, the final state evaluation result of the distribution automation terminal is not greatly changed due to too low weight distribution of the state evaluation indexes, which often happens in the distribution automation terminal mainly composed of electronic components, so that distribution network operation and maintenance personnel can neglect the damage risk to the distribution automation terminal, and the arrangement of maintenance work in advance is inconvenient.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method is used for highlighting the influence of rapid deterioration of part of state evaluation indexes on the state evaluation of the whole distribution automation terminal.
The technical scheme adopted by the invention for solving the technical problems is as follows: a weight dynamic distribution method of a power distribution automation terminal state evaluation index comprises the following steps:
s1: obtaining an initial weight u of the ith state evaluation index of the N state evaluation indexes of the distribution automation terminal i ，1≤i≤N，
S2: according to the type of the state evaluation index of the distribution automation terminal, performing normalization processing on the score of the N index measurement data applied to state evaluation;
s3: x' i And if the normalized value of the ith state evaluation index is y represents the initial result of the state evaluation of the distribution automation terminal, then:
s4: power distributionAfter the automatic terminal operates for a period of time, the normalized value of the ith state evaluation index is set to be x' i Become x' i +Δx′ i Independently adjusting the weight u of the ith state evaluation index according to the initial result y of the state evaluation of the distribution automation terminal, the section of the normalization value of the ith state evaluation index and the change of the normalization value i Obtaining the weight u of the adjusted ith state evaluation index i (1) ；
S5: performing secondary adjustment on all state evaluation indexes to enable the sum of the weights of all state evaluation indexes of the power distribution automation terminal to be 1; is provided with
And if the final weight of the ith state evaluation index of the distribution automation terminal after the secondary adjustment is obtained, calculating the formula as follows:
according to the scheme, in the step S2, if the measured value of the ith state evaluation index is larger, the index is better; let x i Measured data, X, of the ith state evaluation index of a distribution automation terminal i,max The measured data of the ith state evaluation index completely meet the optimal value X of the distribution automation terminal i,min Is the minimum value, x, allowed by the measured data of the ith state evaluation index i 'is normalized value of the ith condition evaluation index, then x' i The normalization processing formula is as follows:
according to the scheme, in the step S2, if the measured value of the ith state evaluation index is smaller, the representative index is better; let x i Measured data of the ith state evaluation index of the distribution automation terminal, Y i,max Allowable measured data for the i-th state evaluation indexMaximum value of (A), X i,min The measured data of the ith state evaluation index completely meet the optimal value x 'of the distribution automation terminal' i Is the normalized value of the ith state evaluation index, then x' i The normalization processing formula is as follows:
according to the scheme, in the step S2, if the measured value of the ith state evaluation index is centered, the better the representative index is; let x i Measured data of the i-th state evaluation index, Z, for a distribution automation terminal i,max And Z i,max Respectively representing the maximum value and the minimum value, X, allowed by the measured data of the ith state evaluation index i,1 And X i,2 Actual measurement data respectively representing the ith state evaluation index completely meet the starting position and the ending position x 'of the optimal section of the distribution automation terminal' i Is the normalized value of the ith state evaluation index, then x' i The normalization processing formula is as follows:
according to the scheme, in the step S4, the specific steps are as follows:
adjusted weight u i (1) The calculation formula of (a) is as follows:
6. a computer storage medium, characterized in that: stored therein is a computer program executable by a computer processor, the computer program executing a method for dynamic weight assignment of distribution automation terminal state evaluation index according to any one of claims 1 to 5.
The invention has the beneficial effects that:
1. according to the dynamic weight distribution method of the state evaluation indexes of the distribution automation terminal, the weight of each state evaluation index is dynamically adjusted according to the initial result of the state evaluation of the distribution automation terminal, the interval of the state index normalization value and the change of the state index, and the function of rapidly deteriorating the state evaluation index of the salient part on the state evaluation of the whole distribution automation terminal is realized.
2. The invention dynamically adjusts the proportion of each state evaluation index in the terminal state evaluation result according to the measurement data of each state evaluation index of the distribution automation terminal, thereby avoiding the occurrence of the condition that the distribution automation terminal is wholly invalid and the state evaluation result can not react due to the failure of a single element.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, a method for dynamically allocating weights of power distribution automation terminal state evaluation indexes according to an embodiment of the present invention includes the following steps:
s1: obtaining respective initial weights u of all N state evaluation indexes of the distribution automation terminal through operation and maintenance standards and expert experience of the distribution network i ，u i Representing the initial weight of the ith state evaluation index, wherein i is more than or equal to 1 and less than or equal to N;
s2: according to the type of the state evaluation index of the distribution automation terminal, the score of each index measurement data applied to state evaluation is normalized, and the specific formula is as follows:
if the larger the actual measurement value of the ith state evaluation index is, the better the representative index is, the normalization processing formula is as follows:
in the above formula, x i The measured value X of the ith state evaluation index of the distribution automation terminal i,max The measured data can completely meet the optimal value X of the distribution automation terminal i,min Is the minimum value, x 'allowed by the measured data' i Is the normalized value of the i-th state evaluation index.
If the measured value of the ith state evaluation index is smaller, the index is better, the normalization processing formula is as follows:
in the above formula, x i The measured value of the ith state evaluation index of the distribution automation terminal, Y i,max Is the maximum value, X, allowed by the measured data i,min The measured data can completely meet the optimal value x 'of the distribution automation terminal' i Is the normalized value of the i-th state evaluation index.
If the intermediate representative index of the actual measurement value of the ith state evaluation index is better, the normalization processing formula is as follows:
in the above formula, x i An ith state evaluation index actual measurement value Z of the distribution automation terminal i,max And Z i,max Respectively representing the maximum and minimum values, X, allowed for the measured data i,1 And X i,2 Respectively indicates that the measured data can completely satisfy the starting position and the ending position x 'of the optimal section of the distribution automation terminal' i Is the normalized value of the i-th state evaluation index.
S3: and calculating the initial result of the state evaluation of the distribution automation terminal as follows:
in the above formula, N represents the number of the state evaluation indexes of the distribution automation terminal; u. of i A weight representing an ith state evaluation index; x' i The normalized value of the ith state evaluation index is obtained; y represents the initial result of the distribution automation terminal state evaluation. The method can be obtained by the steps 1 and 2, and y is more than or equal to 0 and less than or equal to 1.
S4: after the distribution automation terminal operates for a period of time, the actually measured data of each state evaluation index changes, and the ith state evaluation index normalization value is assumed to be x' i Become x' i +Δx′ i Then, according to the initial result y of the state evaluation of the distribution automation terminal, the interval of the state index normalization value and the change of the state index normalization value, the index weight u of the distribution automation terminal is independently adjusted i The calculation formula is as follows:
s5: because the number of the changes of the actually measured data of the state evaluation indexes is often greater than 1, the weights of the state evaluation indexes are adjusted, and in order to ensure that the sum of the weights of all the state evaluation indexes of the distribution automation terminal is still 1, the secondary adjustment needs to be performed on all the state evaluation indexes, which is specifically as follows:
in the above formula, the first and second carbon atoms are,
for the distribution automation terminal after the secondary adjustmentAnd N is the sum of the quantity of the state evaluation indexes applied to the state evaluation of the power distribution automation terminal.
The dynamic distribution of the state evaluation index weight of the distribution automation terminal is realized through the five steps, and key parameters are provided for the subsequent realization of the state evaluation and the state maintenance of the distribution automation terminal.
In order to illustrate the effectiveness of the dynamic allocation method for the state evaluation index weight of the distribution automation terminal, a typical distribution automation terminal FTU detection state quantity is described below, and the implementation steps are shown in fig. 1. All the state evaluation indexes and initial weights are as follows:
contains 24 state evaluation indexes which are respectively as follows:
1) remote signalling function, x 1 ，x 1 When'' is 0.9, initial weight u 1 ＝0.069；
2) Telemetry function, x 2 ，x 2 When'' is 0.9, initial weight u 2 ＝0.069；
3) Remote control function, x 3 ，x 3 When'' is 0.9, initial weight u 3 ＝0.070；
4) Storage battery, x 4 ，x 4 When'' is 0.9, initial weight u 4 ＝0.017；
5) Appearance, x 5 ，x 5 When'' is 0.9, initial weight u 5 ＝0.017；
6) Backup Power supply check, x 6 ，x 6 When'' is 0.9, initial weight u 6 ＝0.023；
7) Inspection of the operating conditions of the distribution terminals, x 7 ，x 7 When'' is 0.9, initial weight u 7 ＝0.044；
8) Inspection of grounding device, x 8 ，x 8 When'' is 0.9, initial weight u 8 ＝0.008；
9) Acquisition of State quantity, x 9 ，x 9 ' 0.9, initial weight u 9 ＝0.137；
10) Acquisition of analog quantity, x 10 ，x 10 ' when equal to 0.9, firstStarting weight u 10 ＝0.137；
11) Control, x 11 ，x 11 When'' is 0.9, initial weight u 11 ＝0.137；
12) Communication, x 12 ，x 12 When'' is 0.9, initial weight u 12 ＝0.077；
13) Maintenance, x 13 ，x 13 When'' is 0.9, initial weight u 13 ＝0.021；
14) Others, x 14 ，x 14 When'' is 0.9, initial weight u 14 ＝0.032；
15) Local function, x 15 ，x 15 When'' is 0.9, initial weight u 15 ＝0.018；
16) Core control unit, x, for history information 16 ，x 16 When'' is 0.9, initial weight u 16 ＝0.054；
17) Shell structure of history information, x 17 ，x 17 When'' is 0.9, initial weight u 17 ＝0.009；
18) Feeder automation of historical information, x 18 ，x 18 When'' is 0.9, initial weight u 18 ＝0.031；
19) Number of times of maintenance of history information, x 19 ，x 19 When'' is 0.9, initial weight u 19 ＝0.007；
20) Family defect, x, of historical information 20 ，x 20 When'' is 0.9, initial weight u 20 ＝0.006；
21) History of occurrence of failure of history information, x 21 ，x 21 When'' is 0.9, initial weight u 21 ＝0.009；
22) Operating age of history information, x 22 ，x 22 When'' is 0.9, initial weight u 22 ＝0.002；
23) Device data of history information, x 23 ，x 23 When'' is 0.9, initial weight u 23 ＝0.002；
24) Operating conditions of history information, x 24 ，x 24 ’＝09, initial weight u 24 ＝0.005。
The state evaluation indexes and the initial weights of the distribution automation terminal of the embodiment of the invention are as follows:
in the above case, the state evaluation result y of the distribution automation terminal is 0.9, and the distribution automation terminal is in a normal state.
When analog quantity is collected x 10 ' suddenly decreased from 0.9 to 0.65, and telemetry function x 2 When the weight of each state evaluation index is not changed when the weight is suddenly reduced from 0.9 to 0.65, the state evaluation result y of the distribution automation terminal is only reduced from 0.9 to 0.849, the variation range is small, and the distribution automation terminal is still in a normal operation state, so that the attention of operation and maintenance personnel is not attracted. However, the two state indexes of the analog quantity acquisition and remote measurement function have larger descending amplitude, and part of elements of the distribution automation terminal equipment should be in a rapid deterioration state and should be noticed by operation and maintenance personnel.
After the weight dynamic adjustment proposed by the patent is adopted, the weights of the 24 state evaluation indexes are updated as follows: u. of 1 (2) ＝0.051；u 2 (2) ＝0.139；u 3 (2) ＝0.052；u 4 (2) ＝0.013；u 5 (2) ＝0.013；u 6 (2) ＝0.017；u 7 (2) ＝0.032；u 8 (2) ＝0.006；u 9 (2) ＝0.101；u 10 (2) ＝0.274；u 11 (2) ＝0.101；u 12 (2) ＝0.057；u 13 (2) ＝0.016；u 14 (2) ＝0.024；u 15 (2) ＝0.013；u 16 (2) ＝0.040；u 17 (2) ＝0.007；u 18 (2) ＝0.023；u 19 (2) ＝0.005；u 20 (2) ＝0.004；u 21 (2) ＝0.007；u 22 (2) ＝0.002；u 23 (2) ＝0.002；u 24 (2) ＝0.003。
The dynamic weight adjustment result corresponding to the change of the measured value of the state evaluation index of the distribution automation terminal in the embodiment of the invention is shown in the following table:
the final state evaluation result y of the distribution automation terminal is reduced from 0.9 to 0.797, the reduction range is obviously increased, the state is changed to be an attention state, and the influence of the rapid deterioration of the analog quantity acquisition and remote measuring function state evaluation indexes on the state evaluation of the whole distribution automation terminal is highlighted.
The above embodiments are only used for illustrating the design idea and features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the content of the present invention and implement the present invention accordingly, and the protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes and modifications made in accordance with the principles and concepts disclosed herein are intended to be included within the scope of the present invention.
Claims (6)
1. A weight dynamic distribution method of a power distribution automation terminal state evaluation index is characterized in that: the method comprises the following steps:
s1: obtaining an initial weight u of the ith state evaluation index of the N state evaluation indexes of the distribution automation terminal i ，1≤i≤N，
S2: according to the type of the state evaluation index of the distribution automation terminal, performing normalization processing on the score of the N index measurement data applied to state evaluation;
s3: x' i And if the normalized value of the ith state evaluation index is y represents the initial result of the state evaluation of the distribution automation terminal, then:
s4: after the distribution automation terminal operates for a period of time, setting the normalized value of the ith state evaluation index to be x' i Become x' i +Δx′ i Independently adjusting the weight u of the ith state evaluation index according to the initial result y of the state evaluation of the distribution automation terminal, the section of the normalization value of the ith state evaluation index and the change of the normalization value i Obtaining the weight u of the adjusted ith state evaluation index i (1) ；
S5: performing secondary adjustment on all state evaluation indexes to enable the sum of the weights of all state evaluation indexes of the power distribution automation terminal to be 1; is provided with
And if the final weight of the ith state evaluation index of the distribution automation terminal after the secondary adjustment is obtained, calculating the formula as follows:
2. the method according to claim 1, wherein the method comprises: in step S2, if the measured value of the i-th status evaluation index is larger, the representative index is better; let x i Measured data, X, of the ith state evaluation index of a distribution automation terminal i,max Measured number of the evaluation index of the ith stateAccording to the optimal value, X, of the distribution automation terminal i,min Is the minimum value, x 'allowed by the measured data of the ith state evaluation index' i Is the normalized value of the ith state evaluation index, then x' i The normalization processing formula is as follows:
3. the method according to claim 1, wherein the method comprises: in the step S2, if the measured value of the ith status evaluation index is smaller, the representative index is better; let x i Measured data of the ith state evaluation index of the distribution automation terminal, Y i,max Is the maximum value, X, allowed by the measured data of the ith state evaluation index i,min The measured data of the ith state evaluation index completely meet the optimal value x 'of the distribution automation terminal' i Is the normalized value of the ith state evaluation index, then x' i The normalization processing formula is as follows:
4. the method for dynamically allocating the weight of the power distribution automation terminal state evaluation index according to claim 1, characterized in that: in the step S2, if the measured value of the ith state evaluation index is centered, the representative index is better; let x i Measured data of the i-th state evaluation index, Z, for a distribution automation terminal i,max And Z i,max Respectively representing the maximum value and the minimum value, X, allowed by the measured data of the ith state evaluation index i,1 And X i,2 Actual measurement data respectively representing the ith state evaluation index completely meet the starting position and the ending position x 'of the optimal section of the distribution automation terminal' i Is in the ith shapeNormalized value of the state evaluation index, then x' i The normalization processing formula is as follows:
5. the method according to claim 1, wherein the method comprises: in the step S4, the specific steps are as follows:
adjusted weight u i (1) The calculation formula of (a) is as follows:
6. a computer storage medium, characterized in that: stored therein is a computer program executable by a computer processor, the computer program executing a method for dynamic weight assignment of distribution automation terminal state evaluation index according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210513077.3A CN114881483A (en) | 2022-05-11 | 2022-05-11 | Weight dynamic distribution method for state evaluation indexes of distribution automation terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210513077.3A CN114881483A (en) | 2022-05-11 | 2022-05-11 | Weight dynamic distribution method for state evaluation indexes of distribution automation terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114881483A true CN114881483A (en) | 2022-08-09 |
Family
ID=82676033
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210513077.3A Pending CN114881483A (en) | 2022-05-11 | 2022-05-11 | Weight dynamic distribution method for state evaluation indexes of distribution automation terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114881483A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117557162A (en) * | 2023-12-05 | 2024-02-13 | 广州联欣信息科技有限公司 | Data center operation and maintenance system based on cloud node evaluation |
-
2022
- 2022-05-11 CN CN202210513077.3A patent/CN114881483A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117557162A (en) * | 2023-12-05 | 2024-02-13 | 广州联欣信息科技有限公司 | Data center operation and maintenance system based on cloud node evaluation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112713649B (en) | Power equipment residual life prediction method based on extreme learning machine | |
| CN112001644B (en) | Method, device, terminal and storage medium for detecting operation reliability of power distribution network | |
| CN112559279A (en) | Uninterruptible power supply system fault prediction method, equipment and computer readable storage medium | |
| CN114793018A (en) | Electrical intelligent data processing device for offshore power grid | |
| CN110930052A (en) | Method, system, equipment and readable storage medium for predicting failure rate of power transformation equipment | |
| CN108053148A (en) | A kind of efficient diagnostic method of power information system failure | |
| CN116207866B (en) | Comprehensive evaluation system for power quality of power distribution network and treatment method thereof | |
| CN114881483A (en) | Weight dynamic distribution method for state evaluation indexes of distribution automation terminal | |
| CN113987960A (en) | Power grid equipment monitoring system and method based on big data | |
| CN117332215A (en) | High-low voltage power distribution cabinet abnormal fault information remote monitoring system | |
| CN112686515A (en) | Transformer operation state evaluation method and device, computer equipment and storage medium | |
| CN116125204A (en) | Fault prediction system based on power grid digitization | |
| Mharakurwa | In-service power transformer life time prospects: review and prospects | |
| CN107563641B (en) | Disaster-resistant multi-scene differentiation planning method for power distribution network considering disaster preference | |
| CN117349624A (en) | Electric power energy monitoring method, system, terminal equipment and storage medium | |
| CN114156865B (en) | Low-voltage distribution network topology generation and fault prediction method considering state perception | |
| CN110727912B (en) | Method for selecting differential transformation scheme of power secondary equipment | |
| CN112347663B (en) | Fault probability prediction method integrating health state and service life of transformer | |
| CN114236306A (en) | Distribution line interval insulation degradation degree evaluation method and system based on distribution main station | |
| CN114818234A (en) | Intelligent comprehensive operation health identification management method and system for power equipment | |
| CN113379303B (en) | Method for analyzing influence factors of primary and secondary fusion equipment of power distribution switch and application of method | |
| CN117728421B (en) | Micro-grid cluster coordinated scheduling method, system, computer equipment and storage medium | |
| CN112581021B (en) | Method for automatically evaluating superiority and inferiority of operation scheme based on analytic hierarchy process | |
| CN110445128B (en) | Sensitivity-based real-time evaluation method for new energy consumption capability of regional power grid | |
| CN117993750A (en) | Switch cabinet health state evaluation method and system for refining industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |